Aternity AppInternals [EOL] vs Datadog comparison

Aternity AppInternals [EOL]

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Executive SummaryUpdated on Apr 6, 2025

Aternity AppInternals [EOL] and Datadog are key players in IT performance monitoring. Datadog holds an edge due to its diversity in features, making it a choice for extensive operational needs.

Features: Aternity AppInternals [EOL] offers robust transaction monitoring, insightful root cause analysis, and ease of use without performance overhead. Datadog provides comprehensive integration options, intuitive user interface, and extensive logging and tracing capabilities.

Room for Improvement: Aternity AppInternals [EOL] could enhance its visualization tools, expand integration capabilities, and improve scalability. Datadog may benefit from simplifying its complex deployment, offering more competitive pricing, and addressing occasional customer support wait times.

Ease of Deployment and Customer Service: Aternity AppInternals [EOL] is noted for its simple deployment process and strong customer service, ensuring an easy transition for users. Datadog, despite its complex setup, provides reliable support and extensive documentation to aid in longer implementation phases.

Pricing and ROI: Aternity AppInternals [EOL] offers cost-effective initial setup and clear ROI through targeted features. Datadog, while perceived as more expensive, justifies costs with its advanced feature set and long-term value proposition.

To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: April 2025).

Application Performance Monitoring (APM) and Observability

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Aternity AppInternals [EOL]

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

188

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)

Featured Reviews

it_user408081

Senior Manager at a tech services company with 1,001-5,000 employees

We use it to see the experience of users hitting our sites and analyze performance by region, browser, etc.

* Transaction Trace Warehouse (TTW) which records all transactions all the time, and lets us see performance down to the line of code. * Browsermetrix, which is real-user monitoring via JS injection and linked back to TTW via cookie. It allows us to see the experience of every user hitting our sites and analyze performance by region, browser, etc.

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Kevin Palmer

DevOps/Security Principal at Raken

Useful log aggregation and management with helpful metrics aggregation

Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"We just control on the backend of AppInternals what we want to instrument and what we don't want to instrument."

"The capability of analysing each individual transaction captured to a very low level detail (method call/line of code)."

"Browsermetrix, which is real-user monitoring via JS injection and linked back to TTW via cookie. It allows us to see the experience of every user hitting our sites and analyze performance by region, browser, etc."

"I like it that one can match IPs with the application name."

"Transaction Tracing is the most useful. Being able to have the transaction stitched together so we can see where the problem is has proven invaluable."

"The product is very useful to find problems in middleware for the application servers, especially agent instrumentation and management is user friendly."

"Clicks to root cause - fast & easy to diagnose and deep-dive"

"The most valuable aspect of this solution is the integration with their other systems. It's easy to understand and it points out the relevant problems in the enterprise."

More Aternity AppInternals [EOL] pros

"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."

"Using the data, our operation teams works with the dashboards to get their statistics, analytics, etc."

"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."

"Profiling has been made easier."

"It has a nice UI."

"The solution is sufficiently stable."

"Infrastructure monitoring gives us real-time visibility into our servers, containers, and cloud resources, helping us optimize performance and reduce downtime."

"Flame graphs are pretty useful for understanding how GraphQL resolves our federated queries when it comes to identifying slow points in our requests. In our microservice environment with 170 services."

More Datadog pros

Cons

"The admin dashboard could be easier as it takes a little bit of time to get used to it."

"We'd like to be able to find out performance problems on application class and methods."

"We have put in a request as an enhancement that we would like to search for items. If we're searching for a URL and we want to know was it a get or was it a post."

"They should find a way for report generation from TTW to run quicker."

"Support for PHP, DB and other applications need to be supported."

"Deployment and agent patch management is not managed centrally, resulting in a large level of effort to update."

"I would like for it to have automated updates, the way the product updates itself should be all automated, as opposed to what it is now."

"It would be great if the solution could offer fixed bundles and more features."

More Aternity AppInternals [EOL] cons

"I spent longer than I should have figuring out how to correlate logs to traces, mostly related to environmental variables."

"The solution should provide alerts for cloud outages."

"I'm not sure if Datadog can monitor K8s deployments in real-time. For instance, being able to see a deployment step by step visually. This would be helpful if there were any incidents during the deployment."

"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."

"The cost does add up quickly, so it can be some effort to justify the necessary outlay to those paying the bills."

"Datadog is expensive."

"The query performance could be improved, particularly when handling large datasets, as slower response times can hinder efficiency."

"I would like the tooling to have better integration in Slack, specifically sending out reminders to the relevant people to take breaks, do a retrospective, and specify with emojis which messages to log."

More Datadog cons

Pricing and Cost Advice

"The licensing model for v9 is better where it is an individual license per server, while v10 licenses are per JVM/ .NET and server instance. The latter model appears to be the model that other APM vendors are using."

"The licensing model is expensive compared to its competitors, but the service it gives to your business, and the data quality, means that it's worth it."

"The price is better than some competing products."

"Pricing seemed easy until the bill came in and some things were not accounted for."

"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."

"If you do your homework, you'll find that if you're really concerned with cost, it's good."

"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."

"My advice is to really keep an eye on your overage costs, as they can spiral really fast."

"Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."

"The solution's pricing depends on project volume."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

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Educational Organization

31%

Computer Software Company

11%

Financial Services Firm

11%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...

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Which would you choose - Datadog or Dynatrace?

Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...

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Product Reports

Application Performance Monitoring (APM) and Observability

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Also Known As

SteelCentral AppInternals, OPNET ACE, AppInternals Xpert

No data available

Overview

Simplified high-definition APM visibility leveraging Real User Monitoring, Synthetic Monitoring, and OpenTelemetry, that is scalable, easy to use and deploy, and unifies insights across end users, applications, networks, and the cloud-native ecosystem

Riverbed

Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.

Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.

What are the key features of Datadog?

Graphs and Dashboards: Visualizes servers and infrastructure with customizable views.
Metrics: Offers deep insights into system performance and user behavior.
Log Management: Provides powerful analytics for logs and seamless log aggregation.
Unified Tagging: Facilitates organization and retrieval of metrics and logs.
APM and RUM: Enables application performance monitoring and real user monitoring for comprehensive insights.
Synthetic Testing: Allows the simulation of user interactions to test application performance.

What benefits and ROI should users look for in reviews?

System Reliability: Helps ensure uptime and performance across cloud environments.
Proactive Issue Resolution: Assists in identifying and resolving issues before they impact users.
Operational Efficiency: Streamlines monitoring and log management tasks.
Flexible Integrations: Adapts to various cloud services and infrastructure setups.
Real-Time Alerts: Provides timely notifications to address problems swiftly.

Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.

Sample Customers

National Instruments, Allianz

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's

Application Performance Monitoring (APM) and Observability